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- W2150968484 abstract "We consider the problem of channel estimation for amplify-and-forward (AF) two-way relay networks (TWRNs). The majority of works on this problem develop pilot-based algorithms that allocate significant resources for training. We will show in this work that such overhead is not necessary when the terminals employ M-ary phase-shift keying (M-PSK). Using the constant-modulus nature of the transmitted symbols, we develop a relaxed blind maximum-likelihood (ML) channel estimator. We study the performance of the ML estimator in the high SNR and large sample-size scenarios, demonstrating that it performs well in both cases. As a benchmark, we also present and analyze an intuitive low-complexity estimator based on sample-averaging. Simulation studies are used to compare the mean-squared error performance of the two algorithms." @default.
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- W2150968484 date "2011-05-01" @default.
- W2150968484 modified "2023-09-26" @default.
- W2150968484 title "Blind channel estimation for MPSK-based amplify-and-forward two-way relaying" @default.
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- W2150968484 doi "https://doi.org/10.1109/icassp.2011.5947073" @default.
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